Bidirectional cognitive computing method supported by cloud technology
Bidirectional cognitive computing method supported by cloud technology
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DOI：
10.1016/j.cogsys.2018.07.035
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发表时间：
2018-12-01
影响因子：
3.9
通讯作者：
Zou, Yuntao
中科院分区：
文献类型：
--
作者：
Wu, Shaofei;Wang, Mingqing;Zou, Yuntao
为实现云技术支持下的双向认知计算，将云模型作为基于概率统计的双向认知计算模型，构建了双向认知计算方法，研究了概念内涵与外延之间的双向认知转换。针对现有后向云转换算法存在的缺陷，提出了两种稳定的多步后向云转换算法，为实现稳定的双向认知计算过程奠定了基础。提出了一种双向认知计算模型，该模型结合人类认知的特点和双向认知转换算法，通过计算模拟基于概念的双向认知计算过程。并结合人类图像认知的特点，研究了双向认知变换算法在图像分割中的应用。并与经典算法和基于云模型的方法进行了比较。结果表明，该方法具有较低的平均误差，明显优于其他算法，充分证明了该方法的有效性。(C)2018爱思唯尔B.V.保留所有权利。
To realize the bidirectional cognitive computing supported by cloud technology, the cloud model is taken as a bidirectional cognitive computing model based on probability and statistics, a bidirectional cognitive calculation method is constructed, and the bidirectional cognitive conversion between concept connotation and extension is studied. In view of the defects in the existing backward cloud conversion algorithm, two stable multistep backward cloud conversion algorithms are proposed, which lays the foundation for the realization of a stable bidirectional cognitive calculation process. A bidirectional cognitive computing model is proposed, which combines the characteristics of human cognition and the bidirectional cognitive conversion algorithm to simulate bidirectional cognitive computing process based on concept by means of calculation. Moreover, the application of bidirectional cognitive transform algorithm in image segmentation is studied combined with the characteristics of human image cognition. It is also compared with the classical algorithm and methods based on cloud model. The results show that the proposed method has lower mean error and is obviously better than other algorithms, which fully proves the effectiveness of the method. (C) 2018 Elsevier B.V. All rights reserved.